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Nov 10, 2022 By 0

Late Season Seeding

Late-season seeding without soil compaction Late-season seeding is often constrained by weather, soil conditions, and crop stage. Drone-based seeding provides a practical alternative that allows establishment to continue without ground contact, protecting soil structure while maintaining accurate seed placement. This project demonstrates how aerial seeding can be used later in the season to establish crops […]
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Nov 10, 2022 By 0

Reduce Chemical Usage

Intelligent crop spraying to reduce chemical usage Intelligent crop spraying uses data from multispectral drone surveys to apply crop protection products only where they are required. By linking field variability data directly to application decisions, this approach reduces chemical use while maintaining effective crop protection. This project demonstrates how targeted, zone-based spraying replaces blanket applications […]
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Nov 10, 2022 By 0

Drone Greenhouse Shading

Drone-applied greenhouse shading for temperature control Managing light and temperature inside greenhouses is critical to maintaining crop consistency and protecting yield during periods of high solar radiation. Drone-applied greenhouse shading provides a fast, accurate, and repeatable way to control growing conditions without the disruption of traditional access methods. This project demonstrates how specialist spraying drones […]
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Nov 10, 2022 By 0

Aerial Fertiliser Spreading

Granular fertiliser spreading using aerial application Granular fertiliser spreading using drones provides a flexible and efficient way to apply nutrients without relying on heavy ground machinery. By distributing granular products from the air, farms can maintain accurate application while avoiding soil compaction and access limitations. This project demonstrates how aerial spreading can be used to […]
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Nov 10, 2022 By 0

Improving Yield Consistency

Improving Yield Consistency Through Zone-Based Management Yield consistency across fields is a key driver of overall farm performance and profitability. Zone-based management uses spatial data to understand why certain areas consistently underperform and applies targeted interventions to reduce variability and improve whole-field output. This project demonstrates how data from multispectral surveys and historical field information […]
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